Abstract: The technique known as K-Means is used in this study to optimize patient clustering for health care information analysis. Adopting an interpretivist mindset, a deductive method is utilized ...

The Cleveland Guardians faced an early exit from the postseason, losing to the Detroit Tigers in just three games during the wild-card round. Cleveland's difficulties in the postseason were primarily ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...